Jobs via Dice · 9 hours ago
GenAI Python Systems Engineer -Senior Manager
Chicago, IL
Full-time
Onsite
Director/Executive
$124K/yr - $280K/yrPwC is a leading firm in data and analytics engineering, focusing on leveraging advanced technologies to design and develop robust data solutions for clients. The role involves designing and building data infrastructure, implementing data pipelines, and acting as a strategic advisor to deliver quality results while fostering a high-performing team.
Computer Software
No H1B
Responsibilities
Design and build data infrastructure and systems to enable efficient data processing and analysis
Develop and implement data pipelines, data integration, and data transformation solutions
Craft and convey clear, impactful and engaging messages that tell a holistic story
Apply systems thinking to identify underlying problems and/or opportunities
Validate outcomes with clients, share alternative perspectives, and act on client feedback
Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations
Deepen and evolve your expertise with a focus on staying relevant
Initiate open and honest coaching conversations at all levels
Make difficult decisions and take action to resolve issues hindering team effectiveness
Model and reinforce professional and technical standards, the Firm's code of conduct, and independence requirements
Demonstrates in-depth abilities and/or success in many areas including proficiency in Python, SQL, and experience with structured and unstructured data
Experience writing and maintaining FastAPI endpoints for scalable applications
Strong understanding of AI techniques that enhance LLMs, such as AI Agents, Retrieval-Augmented Generation (RAG)
Experience in prompt engineering for optimizing LLM outputs
Experience with AI, GenAI, and machine learning and data science workflows
Experienced in high software quality through developer-led testing, validation, and best practices
Understanding of developer-led quality assurance, including automated testing, performance tuning, and debugging
Knowledge of software development workflows and CI/CD pipelines
Work with Docker, including writing Docker files and managing containerized deployments
Develop and deploy scalable data storage solutions using AWS, Azure, and Google Cloud Platform services
Knowledge of data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, Google Cloud Platform Functions, Google Cloud Platform Dataproc, Dataflow, and other relevant services
Design and manage data warehouses and data lakes, ensuring data is organized and accessible
Design and implement comprehensive data architecture strategies that meet the current and future business needs
Develop and document data or system models, flow diagrams, and architecture guidelines
Ensure data architecture is compliant with data governance and data security policies
Collaborate with business stakeholders to understand their data requirements and translate them into technical solutions
Evaluate and recommend new data technologies and tools to enhance data architecture
Implement IAM roles and policies to manage access and permissions within AWS, Azure, Google Cloud Platform
Use AWS CloudFormation, Azure Resource Manager templates, Terraform for infrastructure as code (IaC) deployments
Use AWS, Azure, and Google Cloud Platform DevOps services to build and deploy DevOps pipelines
Optimize Cloud resources for cost, performance, and scalability
Knowledge of data governance and data security best practices
Strong analytical, problem-solving, and communication skills
Ability to work independently and as part of a team in a fast-paced environment
Qualification
Required
Strong proficiency in Python and experience with structured and unstructured data
Strong proficiency in SQL and experience with relational databases
Experience writing and maintaining FastAPI endpoints for scalable applications
Strong understanding of AI techniques that enhance LLMs, such as AI Agents, Retrieval-Augmented Generation (RAG), etc
Experience in prompt engineering for optimizing LLM outputs
Experience with AI, GenAI, and machine learning and data science workflows
Experience with machine learning and data science workflows is a plus
Experienced in high software quality through developer-led testing, validation, and best practices
Understanding of developer-led quality assurance, including automated testing, performance tuning, and debugging
Knowledge of software development workflows and CI/CD pipelines
Work with Docker, including writing Docker files and managing containerized deployments
Develop and deploy scalable data storage solutions using AWS, Azure, and Google Cloud Platform services such as S3, Redshift, PostGresDB RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, Google Cloud Platform Cloud Storage, etc
Knowledge of data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, Google Cloud Platform Functions, Google Cloud Platform Dataproc, Dataflow, and other relevant services
Design and manage data warehouses and data lakes, ensuring data is organized and accessible
Design and implement comprehensive data architecture strategies that meet the current and future business needs
Develop and document data or system models, flow diagrams, and architecture guidelines
Ensure data architecture is compliant with data governance and data security policies
Collaborate with business stakeholders to understand their data requirements and translate them into technical solutions
Evaluate and recommend new data technologies and tools to enhance data architecture
Implement IAM roles and policies to manage access and permissions within AWS, Azure, Google Cloud Platform
Use AWS CloudFormation, Azure Resource Manager templates, Terraform for infrastructure as code (IaC) deployments
Use AWS, Azure, and Google Cloud Platform DevOps services to build and deploy DevOps pipelines
Optimize Cloud resources for cost, performance, and scalability
Knowledge of data governance and data security best practices
Strong analytical, problem-solving, and communication skills
Ability to work independently and as part of a team in a fast-paced environment
Benefits
Medical
Dental
Vision
401k
Holiday pay
Vacation
Personal and family sick leave
And more
Company
Jobs via Dice
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0-1 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase